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Model comparison

Mellum2-12B-A2.5B-Thinking vs Ornith-1.0-9B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
DeepReinforce AI
N/A
0 category wins0 category wins

Evidence parity. Mellum2-12B-A2.5B-Thinking and Ornith-1.0-9B share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Thinking; 7 to Ornith-1.0-9B.

Updated July 23, 2026
Shared results
0
Mellum2-12B-A2.5B-Thinking only
5
Ornith-1.0-9B only
7
Comparable categories
0 / 8

Benchmark data for Mellum2-12B-A2.5B-Thinking and Ornith-1.0-9B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Ornith-1.0-9B has the larger context window at 256K, compared with 128K for Mellum2-12B-A2.5B-Thinking.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricMellum2-12B-A2.5B-ThinkingOrnith-1.0-9BComparison
Input / output priceUSD per 1M tokensMellum2-12B-A2.5B-ThinkingNot availableOrnith-1.0-9B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondMellum2-12B-A2.5B-ThinkingNot availableOrnith-1.0-9BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMellum2-12B-A2.5B-ThinkingNot availableOrnith-1.0-9BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensMellum2-12B-A2.5B-Thinking128KOrnith-1.0-9B256KOrnith-1.0-9B lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMellum2-12B-A2.5B-ThinkingOrnith-1.0-9BResult
BFCL v4Source 45.6%Not comparable
Terminal-Bench 2.0Source 43.1%Not comparable
Claw-EvalSource 63.1%Not comparable
Coding
BenchmarkMellum2-12B-A2.5B-ThinkingOrnith-1.0-9BResult
SWE-bench VerifiedSource 69.4%Not comparable
SWE-bench ProSource 42.9%Not comparable
SWE MultilingualSource 52%Not comparable
NL2RepoSource 27.2%Not comparable
Terminal-Bench 2.0Source 43.1%Not comparable
Knowledge
BenchmarkMellum2-12B-A2.5B-ThinkingOrnith-1.0-9BResult
MMLU-ReduxSource 86.2%Not comparable
GPQASource 57.6%Not comparable
GPQA-DSource 57.6%Not comparable
Inst. Following
BenchmarkMellum2-12B-A2.5B-ThinkingOrnith-1.0-9BResult
IFEvalSource 76.5%Not comparable
Frequently Asked Questions (3)

Can I compare Mellum2-12B-A2.5B-Thinking and Ornith-1.0-9B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Mellum2-12B-A2.5B-Thinking and Ornith-1.0-9B today?

Ornith-1.0-9B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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